Rahul Gupta - RankMe

160 papers A* 7A 21Misc 15Journal 75Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Nova 2.0 Lite model under Amazon's Frontier Model Safety Framework. CoRR Satyapriya Krishna, Matteo Memelli, Tong Wang, Abhinav Mohanty, Claire O'Brien Rajkumar, Payal Motwani, Rahul Gupta, Spyros Matsoukas
2026	J	`jnl`	Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs. CoRR Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna, Sai Praneeth Karimireddy, Rahul Gupta, Shrikanth Narayanan
2026	J	`jnl`	When Actions Go Off-Task: Detecting and Correcting Misaligned Actions in Computer-Use Agents. CoRR Yuting Ning, Jaylen Jones, Zhehao Zhang, Chentao Ye, Weitong Ruan, Junyi Li, Rahul Gupta, Huan Sun
2025	J	`jnl`	Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks. CoRR Mahavir Dabas, Tran Huynh, Nikhil Reddy Billa, Jiachen T. Wang, Peng Gao, Charith Peris, Yao Ma, Rahul Gupta, Ming Jin, Prateek Mittal, Ruoxi Jia
2025	J	`jnl`	Amazon Nova AI Challenge - Trusted AI: Advancing secure, AI-assisted software development. CoRR Sattvik Sahai, Prasoon Goyal, Michael Johnston, Anna Gottardi, Yao Lu, Lucy Hu, Luke Dai, Shaohua Liu, Samyuth Sagi, Hangjie Shi, Desheng Zhang, Lavina Vaz, Leslie Ball, Maureen Murray, Rahul Gupta, Shankar Ananthakrishnan
2025	J	`jnl`	Assessing Visual Privacy Risks in Multimodal AI: A Novel Taxonomy-Grounded Evaluation of Vision-Language Models. CoRR Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan
2025	A*	`conf`	Certifying Counterfactual Bias in LLMs. ICLR Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh
2025	J	`jnl`	Customize Multi-modal RAI Guardrails with Precedent-based predictions. CoRR Cheng-Fu Yang, Thanh Tran, Christos Christodoulopoulos, Weitong Ruan, Rahul Gupta, Kai-Wei Chang
2025	J	`jnl`	D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models. CoRR Satyapriya Krishna, Andy Zou, Rahul Gupta, Eliot Krzysztof Jones, Nick Winter, Dan Hendrycks, J. Zico Kolter, Matt Fredrikson, Spyros Matsoukas
2025	A*	`conf`	Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time. EMNLP Huihan Li, You Chen, Siyuan Wang, Yixin He, Ninareh Mehrabi, Rahul Gupta, Xiang Ren
2025	J	`jnl`	Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time. CoRR Huihan Li, You Chen, Siyuan Wang, Yixin He, Ninareh Mehrabi, Rahul Gupta, Xiang Ren
2025	J	`jnl`	Establishing Best Practices for Building Rigorous Agentic Benchmarks. CoRR Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Jasjeet S. Sekhon, Jacob Steinhardt, Antony Kellerman, Sarah Schwettmann, Matei Zaharia, Ion Stoica, Percy Liang, Daniel Kang
2025	J	`jnl`	Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework. CoRR Satyapriya Krishna, Ninareh Mehrabi, Abhinav Mohanty, Matteo Memelli, Vincent Ponzo, Payal Motwani, Rahul Gupta
2025	J	`jnl`	From Narrow Unlearning to Emergent Misalignment: Causes, Consequences, and Containment in LLMs. CoRR Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, Sattvik Sahai, Prasoon Goyal, Kai-Wei Chang, Tao Zhang, Rahul Gupta
2025	J	`jnl`	K-Edit: Language Model Editing with Contextual Knowledge Awareness. CoRR Elan Markowitz, Anil Ramakrishna, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2025	J	`jnl`	Kaleidoscopic Teaming in Multi Agent Simulations. CoRR Ninareh Mehrabi, Tharindu Kumarage, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2025	—	`conf`	LUME: LLM Unlearning with Multitask Evaluations. EMNLP (Findings) Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025	J	`jnl`	LUME: LLM Unlearning with Multitask Evaluations. CoRR Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025	—	`conf`	Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models. EMNLP (Findings) Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta
2025	J	`jnl`	Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning. CoRR Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta
2025	—	`conf`	On Localizing and Deleting Toxic Memories in Large Language Models. NAACL (Findings) Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta
2025	J	`jnl`	Quantifying Risks in Multi-turn Conversation with Large Language Models. CoRR Chengxiao Wang, Isha Chaudhary, Qian Hu, Weitong Ruan, Rahul Gupta, Gagandeep Singh
2025	J	`jnl`	SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models. CoRR Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025	J	`jnl`	Simulating and Understanding Deceptive Behaviors in Long-Horizon Interactions. CoRR Yang Xu, Xuanming Zhang, Samuel Yeh, Jwala Dhamala, Ousmane Dia, Rahul Gupta, Sharon Li
2025	J	`jnl`	Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning. CoRR Si Chen, Xiao Yu, Ninareh Mehrabi, Rahul Gupta, Zhou Yu, Ruoxi Jia
2025	—	`conf`	Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation. ACL (Findings) Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
2025	J	`jnl`	Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation. CoRR Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
2025	J	`jnl`	VMDT: Decoding the Trustworthiness of Video Foundation Models. CoRR Yujin Potter, Zhun Wang, Nicholas Crispino, Kyle Montgomery, Alexander Xiong, Ethan Y. Chang, Francesco Pinto, Yuqi Chen, Rahul Gupta, Morteza Ziyadi, Christos Christodoulopoulos, Bo Li, Chenguang Wang, Dawn Song
2024	—	`conf`	Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. EMNLP (Findings) Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024	J	`jnl`	Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. CoRR Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024	A*	`conf`	Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. EMNLP Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024	J	`jnl`	Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. CoRR Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024	A*	`conf`	FLIRT: Feedback Loop In-context Red Teaming. EMNLP Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2024	—	`conf`	MICo: Preventative Detoxification of Large Language Models through Inhibition Control. NAACL-HLT (Findings) Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan
2024	J	`jnl`	Partial Federated Learning. CoRR Tiantian Feng, Anil Ramakrishna, Jimit Majmudar, Charith Peris, Jixuan Wang, Clement Chung, Richard S. Zemel, Morteza Ziyadi, Rahul Gupta
2024	J	`jnl`	Quantitative Certification of Bias in Large Language Models. CoRR Isha Chaudhary, Qian Hu, Manoj Kumar, Morteza Ziyadi, Rahul Gupta, Gagandeep Singh
2024	J	`jnl`	TI-ASU: Toward Robust Automatic Speech Understanding through Text-to-speech Imputation Against Missing Speech Modality. CoRR Tiantian Feng, Xuan Shi, Rahul Gupta, Shrikanth S. Narayanan
2024	—	`conf`	The steerability of large language models toward data-driven personas. NAACL-HLT Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2024	—	`conf`	Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. NAACL-HLT (Findings) Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta
2024	—	`conf`	Toward Informal Language Processing: Knowledge of Slang in Large Language Models. NAACL-HLT Zhewei Sun, Qian Hu, Rahul Gupta, Richard S. Zemel, Yang Xu
2024	J	`jnl`	Toward Informal Language Processing: Knowledge of Slang in Large Language Models. CoRR Zhewei Sun, Qian Hu, Rahul Gupta, Richard S. Zemel, Yang Xu
2024	—	`conf`	Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. ACL (1) Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024	J	`jnl`	Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. CoRR Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2023	—	`conf`	"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. FAccT Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023	J	`jnl`	"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023	J	`jnl`	Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2023	—	`conf`	Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. ACL (2) Mustafa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta
2023	J	`jnl`	Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. CoRR Mustafa Safa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta
2023	—	`conf`	Coordinated Replay Sample Selection for Continual Federated Learning. EMNLP (Industry Track) Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta
2023	J	`jnl`	Coordinated Replay Sample Selection for Continual Federated Learning. CoRR Jack Good, Jimit Majmudar, Christophe Dupuy, Jixuan Wang, Charith Peris, Clement Chung, Richard S. Zemel, Rahul Gupta
2023	A*	`conf`	Evaluating Large Language Models on Controlled Generation Tasks. EMNLP Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma
2023	J	`jnl`	Evaluating Large Language Models on Controlled Generation Tasks. CoRR Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma
2023	J	`jnl`	FLIRT: Feedback Loop In-context Red Teaming. CoRR Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023	A*	`conf`	Faithful Model Evaluation for Model-Based Metrics. EMNLP Qian Hu, Palash Goyal, Rahul Gupta
2023	J	`jnl`	Faithful Model Evaluation for Model-Based Metrics. CoRR Palash Goyal, Qian Hu, Rahul Gupta
2023	J	`jnl`	FedMultimodal: A Benchmark For Multimodal Federated Learning. CoRR Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
2023	A*	`conf`	FedMultimodal: A Benchmark for Multimodal Federated Learning. KDD Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
2023	—	`conf`	INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations. EMNLP (Findings) Anil Ramakrishna, Rahul Gupta, Jens Lehmann, Morteza Ziyadi
2023	A	`conf`	Incorporating Fairness in Large Scale NLU Systems. WSDM Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan
2023	J	`jnl`	JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023	—	`conf`	Multi-VALUE: A Framework for Cross-Dialectal English NLP. ACL (1) Caleb Ziems, William Barr Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang
2023	J	`jnl`	On the steerability of large language models toward data-driven personas. CoRR Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023	A	`conf`	Privacy in the Time of Language Models. WSDM Charith Peris, Christophe Dupuy, Jimit Majmudar, Rahil Parikh, Sami Smaili, Richard S. Zemel, Rahul Gupta
2023	Misc	`conf`	Quantifying Catastrophic Forgetting in Continual Federated Learning. ICASSP Christophe Dupuy, Jimit Majmudar, Jixuan Wang, Tanya G. Roosta, Rahul Gupta, Clement Chung, Jie Ding, Salman Avestimehr
2023	—	`conf`	Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2023	A	`conf`	Sampling bias in NLU models: Impact and Mitigation. INTERSPEECH Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta
2023	Misc	`conf`	Self-Healing Through Error Detection, Attribution, and Retraining. ICASSP Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta
2022	Misc	`conf`	Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances. ICASSP Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar, Shankar Ananthakrishnan
2022	J	`jnl`	AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. CoRR Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan
2022	—	`conf`	An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. SLT Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022	J	`jnl`	An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. CoRR Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022	Misc	`conf`	An Efficient DP-SGD Mechanism for Large Scale NLU Models. ICASSP Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky
2022	—	`conf`	Canary Extraction in Natural Language Understanding Models. ACL (2) Rahil Parikh, Christophe Dupuy, Rahul Gupta
2022	J	`jnl`	Canary Extraction in Natural Language Understanding Models. CoRR Rahil Parikh, Christophe Dupuy, Rahul Gupta
2022	—	`conf`	Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets. AACL/IJCNLP (1) Manoj Kumar, Anna Rumshisky, Rahul Gupta
2022	—	`conf`	Controlled Data Generation via Insertion Operations for NLU. NAACL-HLT (Industry Papers) Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza
2022	J	`jnl`	Design Considerations For Hypothesis Rejection Modules In Spoken Language Understanding Systems. CoRR Aman Alok, Rahul Gupta, Shankar Ananthakrishnan
2022	J	`jnl`	Differentially Private Decoding in Large Language Models. CoRR Jimit Majmudar, Christophe Dupuy, Charith Peris, Sami Smaili, Rahul Gupta, Richard S. Zemel
2022	—	`conf`	FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. NAACL-HLT (Findings) Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
2022	—	`conf`	Federated Learning with Noisy User Feedback. NAACL-HLT Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
2022	J	`jnl`	Federated Learning with Noisy User Feedback. CoRR Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
2022	—	`conf`	Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection. EMNLP (Industry Track) Stefan Schroedl, Manoj Kumar, Kiana Hajebi, Morteza Ziyadi, Sriram Venkatapathy, Anil Ramakrishna, Rahul Gupta, Pradeep Natarajan
2022	J	`jnl`	Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2022	J	`jnl`	Joint Multi-Dimensional Model for Global and Time-Series Annotations. IEEE Trans. Affect. Comput. Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan
2022	Misc	`conf`	Learnings from Federated Learning in The Real World. ICASSP Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr
2022	J	`jnl`	Learnings from Federated Learning in the Real world. CoRR Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr
2022	—	`conf`	Measuring Fairness of Text Classifiers via Prediction Sensitivity. ACL (1) Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
2022	J	`jnl`	Measuring Fairness of Text Classifiers via Prediction Sensitivity. CoRR Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
2022	—	`conf`	Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022	J	`jnl`	Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. CoRR Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022	J	`jnl`	Modeling Feature Representations for Affective Speech Using Generative Adversarial Networks. IEEE Trans. Affect. Comput. Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson
2022	J	`jnl`	Multi-VALUE: A Framework for Cross-Dialectal English NLP. CoRR Caleb Ziems, William Barr Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang
2022	—	`conf`	On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022	J	`jnl`	On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. CoRR Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022	—	`conf`	Training Mixed-Domain Translation Models via Federated Learning. NAACL-HLT Peyman Passban, Tanya G. Roosta, Rahul Gupta, Ankit Chadha, Clement Chung
2022	J	`jnl`	Training Mixed-Domain Translation Models via Federated Learning. CoRR Peyman Passban, Tanya G. Roosta, Rahul Gupta, Ankit Chadha, Clement Chung
2021	A	`conf`	ADePT: Auto-encoder based Differentially Private Text Transformation. EACL Satyapriya Krishna, Rahul Gupta, Christophe Dupuy
2021	J	`jnl`	ADePT: Auto-encoder based Differentially Private Text Transformation. CoRR Satyapriya Krishna, Rahul Gupta, Christophe Dupuy
2021	J	`jnl`	An Efficient DP-SGD Mechanism for Large Scale NLP Models. CoRR Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky
2021	—	`conf`	BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. FAccT Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
2021	J	`jnl`	BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. CoRR Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
2021	—	`conf`	Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. ACL/IJCNLP (Findings) Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang
2021	J	`jnl`	Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. CoRR Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang
2021	J	`jnl`	ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification. CoRR Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta
2021	—	`conf`	Protoda: Efficient Transfer Learning for Few-Shot Intent Classification. SLT Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien de Lichy, Aman Alok, Rahul Gupta
2021	—	`conf`	Towards Realistic Single-Task Continuous Learning Research for NER. EMNLP (Findings) Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta
2021	J	`jnl`	Towards Realistic Single-Task Continuous Learning Research for NER. CoRR Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta
2020	J	`jnl`	Automatic Discovery of Novel Intents & Domains from Text Utterances. CoRR Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar
2020	Misc	`conf`	Design Considerations for Hypothesis Rejection Modules in Spoken Language Understanding Systems. ICASSP Aman Alok, Rahul Gupta, Shankar Ananthakrishnan
2020	—	`conf`	Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. Insights Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta
2020	J	`jnl`	Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. CoRR Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta
2020	J	`jnl`	Joint Multi-Dimensional Model for Global and Time-Series Annotations. CoRR Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan
2020	J	`jnl`	Towards classification parity across cohorts. CoRR Aarsh Patel, Rahul Gupta, Mukund Harakere, Satyapriya Krishna, Aman Alok, Peng Liu
2019	J	`jnl`	Modeling Feature Representations for Affective Speech using Generative Adversarial Networks. CoRR Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson
2019	Misc	`conf`	On Evaluating CNN Representations for Low Resource Medical Image Classification. ICASSP Taruna Agrawal, Rahul Gupta, Shrikanth S. Narayanan
2019	J	`jnl`	On evaluating CNN representations for low resource medical image classification. CoRR Taruna Agrawal, Rahul Gupta, Shrikanth S. Narayanan
2019	A	`conf`	One-vs-All Models for Asynchronous Training: An Empirical Analysis. INTERSPEECH Rahul Gupta, Aman Alok, Shankar Ananthakrishnan
2019	J	`jnl`	One-vs-All Models for Asynchronous Training: An Empirical Analysis. CoRR Rahul Gupta, Aman Alok, Shankar Ananthakrishnan
2018	—	`conf`	A Re-Ranker Scheme For Integrating Large Scale NLU Models. SLT Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan, Spyros Matsoukas
2018	J	`jnl`	A Re-ranker Scheme for Integrating Large Scale NLU models. CoRR Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan, Spyros Matsoukas
2018	J	`jnl`	Adversarial Auto-encoders for Speech Based Emotion Recognition. CoRR Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Wael AbdAlmageed, Carol Y. Espy-Wilson
2018	J	`jnl`	Modeling Multiple Time Series Annotations as Noisy Distortions of the Ground Truth: An Expectation-Maximization Approach. IEEE Trans. Affect. Comput. Rahul Gupta, Kartik Audhkhasi, Zach Jacokes, Agata Rozga, Shrikanth S. Narayanan
2018	A	`conf`	On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks. INTERSPEECH Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson
2018	J	`jnl`	On Enhancing Speech Emotion Recognition using Generative Adversarial Networks. CoRR Saurabh Sahu, Rahul Gupta, Carol Y. Espy-Wilson
2018	Misc	`conf`	Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification. ICASSP Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson, Shrikanth S. Narayanan
2018	J	`jnl`	Semi-supervised and Transfer learning approaches for low resource sentiment classification. CoRR Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson, Shrikanth S. Narayanan
2018	Misc	`conf`	Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition. ICASSP Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Carol Y. Espy-Wilson
2017	Misc	`conf`	A knowledge transfer and boosting approach to the prediction of affect in movies. ICASSP Sabyasachee Baruah, Rahul Gupta, Shrikanth S. Narayanan
2017	A	`conf`	Adversarial Auto-Encoders for Speech Based Emotion Recognition. INTERSPEECH Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Wael AbdAlmageed, Carol Y. Espy-Wilson
2017	A	`conf`	An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks. INTERSPEECH Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson, Shrikanth S. Narayanan
2017	—	`conf`	Multimodal detection of fake social media use through a fusion of classification and pairwise ranking systems. EUSIPCO Taruna Agrawal, Rahul Gupta, Shrikanth S. Narayanan
2017	—	`conf`	SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images. MediaEval Taruna Agrawal, Rahul Gupta, Saurabh Sahu, Carol Y. Espy-Wilson
2017	A	`conf`	Transfer Learning Between Concepts for Human Behavior Modeling: An Application to Sincerity and Deception Prediction. INTERSPEECH Qinyi Luo, Rahul Gupta, Shrikanth S. Narayanan
2016	A	`conf`	Acoustic-Prosodic and Turn-Taking Features in Interactions with Children with Neurodevelopmental Disorders. INTERSPEECH Daniel Bone, Somer Bishop, Rahul Gupta, Sungbok Lee, Shrikanth S. Narayanan
2016	A	`conf`	An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators. INTERSPEECH Anil Ramakrishna, Rahul Gupta, Ruth B. Grossman, Shrikanth S. Narayanan
2016	J	`jnl`	Analysis of engagement behavior in children during dyadic interactions using prosodic cues. Comput. Speech Lang. Rahul Gupta, Daniel Bone, Sungbok Lee, Shrikanth S. Narayanan
2016	A	`conf`	Automatic Estimation of Perceived Sincerity from Spoken Language. INTERSPEECH Brandon M. Booth, Rahul Gupta, Pavlos Papadopoulos, Ruchir Travadi, Shrikanth S. Narayanan
2016	J	`jnl`	Detecting paralinguistic events in audio stream using context in features and probabilistic decisions. Comput. Speech Lang. Rahul Gupta, Kartik Audhkhasi, Sungbok Lee, Shrikanth S. Narayanan
2016	J	`jnl`	Inferring object rankings based on noisy pairwise comparisons from multiple annotators. CoRR Rahul Gupta, Shrikanth S. Narayanan
2016	A	`conf`	Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues. INTERSPEECH Rahul Gupta, Nishant Nath, Taruna Agrawal, Panayiotis G. Georgiou, David C. Atkins, Shrikanth S. Narayanan
2016	A	`conf`	Objective Language Feature Analysis in Children with Neurodevelopmental Disorders During Autism Assessment. INTERSPEECH Manoj Kumar, Rahul Gupta, Daniel Bone, Nikolaos Malandrakis, Somer Bishop, Shrikanth S. Narayanan
2016	—	`conf`	Online Affect Tracking with Multimodal Kalman Filters. AVEC@ACM Multimedia Krishna Somandepalli, Rahul Gupta, Md. Nasir, Brandon M. Booth, Sungbok Lee, Shrikanth S. Narayanan
2016	Misc	`conf`	Pathological speech processing: State-of-the-art, current challenges, and future directions. ICASSP Rahul Gupta, Theodora Chaspari, Jangwon Kim, Naveen Kumar, Daniel Bone, Shrikanth S. Narayanan
2016	A	`conf`	Predicting Affective Dimensions Based on Self Assessed Depression Severity. INTERSPEECH Rahul Gupta, Shrikanth S. Narayanan
2015	Misc	`conf`	A language-based generative model framework for behavioral analysis of couples' therapy. ICASSP Sandeep Nallan Chakravarthula, Rahul Gupta, Brian R. Baucom, Panayiotis G. Georgiou
2015	Misc	`conf`	A mixture of experts approach towards intelligibility classification of pathological speech. ICASSP Rahul Gupta, Kartik Audhkhasi, Shrikanth S. Narayanan
2015	—	`conf`	Affect prediction in music using boosted ensemble of filters. EUSIPCO Rahul Gupta, Naveen Kumar, Shrikanth S. Narayanan
2015	A	`conf`	Analysis and modeling of the role of laughter in motivational interviewing based psychotherapy conversations. INTERSPEECH Rahul Gupta, Theodora Chaspari, Panayiotis G. Georgiou, David C. Atkins, Shrikanth S. Narayanan
2015	A	`conf`	Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales. INTERSPEECH Matthew P. Black, Daniel Bone, Zisis Iason Skordilis, Rahul Gupta, Wei Xia, Pavlos Papadopoulos, Sandeep Nallan Chakravarthula, Bo Xiao, Maarten Van Segbroeck, Jangwon Kim, Panayiotis G. Georgiou, Shrikanth S. Narayanan
2015	A	`conf`	Automatic estimation of parkinson's disease severity from diverse speech tasks. INTERSPEECH Jangwon Kim, Md. Nasir, Rahul Gupta, Maarten Van Segbroeck, Daniel Bone, Matthew P. Black, Zisis Iason Skordilis, Zhaojun Yang, Panayiotis G. Georgiou, Shrikanth S. Narayanan
2015	—	`conf`	Predicting Affect in Music Using Regression Methods on Low Level Features. MediaEval Rahul Gupta, Shrikanth S. Narayanan
2015	—	`conf`	Retrieving Social Images using Relevance Filtering and Diverse Selection. MediaEval Taruna Agrawal, Rahul Gupta, Shrikanth S. Narayanan
2014	—	`conf`	Affective Feature Design and Predicting Continuous Affective Dimensions from Music. MediaEval Naveen Kumar, Rahul Gupta, Tanaya Guha, Colin Vaz, Maarten Van Segbroeck, Jangwon Kim, Shrikanth S. Narayanan
2014	—	`conf`	Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions. AVEC@MM Rahul Gupta, Nikolaos Malandrakis, Bo Xiao, Tanaya Guha, Maarten Van Segbroeck, Matthew Black, Alexandros Potamianos, Shrikanth S. Narayanan
2014	A	`conf`	Predicting client's inclination towards target behavior change in motivational interviewing and investigating the role of laughter. INTERSPEECH Rahul Gupta, Panayiotis G. Georgiou, David C. Atkins, Shrikanth S. Narayanan
2014	Misc	`conf`	Training ensemble of diverse classifiers on feature subsets. ICASSP Rahul Gupta, Kartik Audhkhasi, Shrikanth S. Narayanan
2014	A	`conf`	Variable Span disfluency detection in ASR transcripts. INTERSPEECH Rahul Gupta, Sankaranarayanan Ananthakrishnan, Zhaojun Yang, Shrikanth S. Narayanan
2013	A	`conf`	Paralinguistic event detection from speech using probabilistic time-series smoothing and masking. INTERSPEECH Rahul Gupta, Kartik Audhkhasi, Sungbok Lee, Shrikanth S. Narayanan
2012	—	`conf`	Acoustical analysis of engagement behavior in children. WOCCI Rahul Gupta, Chi-Chun Lee, Daniel Bone, Agata Rozga, Sungbok Lee, Shrikanth S. Narayanan
2012	Misc	`conf`	Classification of emotional content of sighs in dyadic human interactions. ICASSP Rahul Gupta, Chi-Chun Lee, Shrikanth S. Narayanan